B. Raducanu, P. Boncz, and M. Zukowski. Proceedings of the 2013 ACM SIGMOD International Conference
on Management of Data, page 1231--1242. New York, NY, USA, ACM, (2013)
Abstract
Abstract Performance of query processing functions in a DBMS can
be affected by many factors, including the hardware platform,
data distributions, predicate parameters, compilation method,
algorithmic variations and the interactions between these. Given
that ...
%0 Conference Paper
%1 Raducanu2013-ox
%A Raducanu, Bogdan
%A Boncz, Peter
%A Zukowski, Marcin
%B Proceedings of the 2013 ACM SIGMOD International Conference
on Management of Data
%C New York, NY, USA
%D 2013
%I ACM
%K Adaptive_query_execution Algorithm_variants Expose MonetDBX100 adaptive,_query_processing,_self_tuning
%P 1231--1242
%T Micro Adaptivity in Vectorwise
%X Abstract Performance of query processing functions in a DBMS can
be affected by many factors, including the hardware platform,
data distributions, predicate parameters, compilation method,
algorithmic variations and the interactions between these. Given
that ...
@inproceedings{Raducanu2013-ox,
abstract = {Abstract Performance of query processing functions in a DBMS can
be affected by many factors, including the hardware platform,
data distributions, predicate parameters, compilation method,
algorithmic variations and the interactions between these. Given
that ...},
added-at = {2015-05-18T23:18:18.000+0200},
address = {New York, NY, USA},
author = {R\u{a}ducanu, Bogdan and Boncz, Peter and Zukowski, Marcin},
biburl = {https://www.bibsonomy.org/bibtex/283d8c12966cd1c2fe93586721ab17c94/christophv},
booktitle = {Proceedings of the 2013 {ACM} {SIGMOD} International Conference
on Management of Data},
interhash = {0a7287ed99c8f8d4ed3255f86ca6bfeb},
intrahash = {83d8c12966cd1c2fe93586721ab17c94},
keywords = {Adaptive_query_execution Algorithm_variants Expose MonetDBX100 adaptive,_query_processing,_self_tuning},
pages = {1231--1242},
publisher = {ACM},
series = {SIGMOD '13},
timestamp = {2016-01-04T14:22:08.000+0100},
title = {Micro Adaptivity in Vectorwise},
year = 2013
}